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  • Machine Learning In Distributed Environments

Results for "machine learning in distributed environments"


  • P

    Pearson

    AWS Certified Machine Learning - Specialty

    Skills you'll gain: Model Training, Model Deployment, Exploratory Data Analysis, Data Engineering, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Data Wrangling, Model Optimization, Amazon Redshift, Machine Learning Software, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, AWS Kinesis, Data Pipelines, Extract, Transform, Load

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Machine Learning and Emerging Technologies in Cybersecurity

    Skills you'll gain: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Model Training, Incident Response, Machine Learning Methods, Anomaly Detection, Applied Machine Learning, Continuous Monitoring, AI Security, Cryptographic Protocols, Network Security, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Network Architecture, Unsupervised Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Applied Machine Learning, Database Management Systems, Data Architecture, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Data Access, Machine Learning, Scalability, Data Integrity, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning, Machine Learning Methods, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Model Training, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Model Optimization, Logistic Regression, Anomaly Detection, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deploy and Optimize Cloud AI Architectures

    Skills you'll gain: Model Optimization, Cloud Computing Architecture, Cloud Management, Model Training, Cloud Infrastructure, Distributed Computing, Data Pipelines, Managed Services, Cost Management, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Optimizing Machine Learning Performance

    Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Performance Management, Applied Machine Learning, Business Strategy, Risk Mitigation, Systems Integration, Stakeholder Communications

    4.4
    Rating, 4.4 out of 5 stars
    ·
    53 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Model Optimization, Model Training, Applied Machine Learning, Data Manipulation, Machine Learning, Data Preprocessing, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Workflow Management, Model Training, Data Store, Google Cloud Platform, Data Management, AI Workflows, Model Optimization, Data Governance, Machine Learning Methods, Data Preprocessing, Model Evaluation, Data Pipelines, Applied Machine Learning, Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Dimensionality Reduction

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

1…567…834

In summary, here are 10 of our most popular machine learning in distributed environments courses

  • AWS Certified Machine Learning - Specialty: Pearson
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
  • Introduction to Machine Learning with Python: Arizona State University
  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
  • Foundations of Machine Learning : Fractal Analytics
  • Deploy and Optimize Cloud AI Architectures: Coursera
  • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Machine Learning with PySpark: Edureka

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